Localization in multipath environment using hybrid method
Conventional localization methodology leverages on the reference devices' measured parameters such as Time of Arrival (TOA) as in Global Positioning System (GPS) and Angle of Arrival (AOA) to locate the mobile device in a Line of sight (LOS) environment. It uses only LOS information to measu...
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Format: | Final Year Project |
Language: | English |
Published: |
2010
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Online Access: | http://hdl.handle.net/10356/40810 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Conventional localization methodology leverages on the reference devices' measured
parameters such as Time of Arrival (TOA) as in Global Positioning System (GPS) and
Angle of Arrival (AOA) to locate the mobile device in a Line of sight (LOS)
environment. It uses only LOS information to measure Euclidian distances between
reference devices and mobile device and to subsequently construct independent
equations needed to estimate mobile device’s position However, channel impairments
such as existence of non line of sight (NLOS) and multipath seriously degrade the
performance of conventional localization scheme. This makes the implementation in
indoor environment difficult because indoor environment typically has many obstacles
and reflectors.
Current state of the art localization scheme is able to locate mobile device in 2-
dimensional multipath environment by using both Line of Sight (LOS) and Non Line of
Sight (NLOS) bidirectional Time of Arrival (TOA) and Angle of Arrival (AOA)
information at both the mobile device and reference device side. This method has
significant advantage over conventional localization because the method will be able to
work even when no reference device is in LOS with the mobile device and hence this
method is suitable for indoor environments.
This report presents the design of a non line of sight (NLOS) localization algorithm that
determines the two-dimensional position of a mobile device in a multipath environment
Our proposed algorithm leverages on received signal strength (RSS) measured at the
reference devices to obtain the distance of propagation. Together with the AOA
measurements, the two dimensional line of possible mobile device (LPMDs) is worked
out. These LPMDs will then used to determine the accurate mobile device's position.
Computer simulation was performed in indoor multipath environment to compare the
performance between our proposed algorithm and the existing NLOS algorithms. |
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